Genpact has offered one of the clearest recent warnings from the technology services sector on how artificial intelligence is beginning to alter the labour equation in Indian IT. NV 'Tiger' Tyagarajan said the workload in the industry is likely to come down as AI takes over a growing share of routine tasks, while the pace of hiring is also expected to moderate. The message is significant for a sector that has long depended on large-scale employment growth as a core part of its operating model.
AI Reshapes Delivery
Tyagarajan's comments point to a structural shift rather than a short-term cyclical slowdown. As AI tools become more capable of handling repetitive coding, testing, support and process-management functions, companies are likely to need fewer employees for the same volume of work. That does not imply a collapse in demand for technology services, but it does suggest that the composition of work is changing quickly. For Indian IT firms, the challenge is no longer simply scaling headcount to meet client demand; it is about redesigning delivery around automation, productivity gains and higher-value services.
The implication for margins could be mixed. On one hand, AI can improve efficiency and reduce operating costs. On the other, it may force companies to invest more heavily in platforms, training and specialised talent before those gains are fully realised. In the near term, firms may see pressure to do more with less, especially as global clients demand faster turnaround and lower costs. That dynamic could make workforce planning more conservative across the sector.
Hiring Growth Slows
Tyagarajan said the percentage addition of employees in India will not be the same as in the past, underscoring how the industry's labour-intensive expansion model is losing momentum. For years, Indian IT services companies were among the country's largest private employers, adding tens of thousands of workers annually to support offshore delivery and back-office operations. That model helped build scale, but it also relied on a steady pipeline of entry-level talent.
Now, that pipeline is under pressure. AI is reducing the need for some categories of junior work, while clients are increasingly asking for domain expertise, data fluency and product-oriented capabilities. The result is a slower hiring environment, even if revenue opportunities remain intact. For job seekers, especially fresh graduates, the shift could mean tougher entry into the industry and greater competition for fewer traditional roles.
The broader labour-market signal matters beyond IT. India has long viewed technology services as a key absorber of skilled graduates, and any slowdown in hiring growth could have knock-on effects for urban employment, wage trends and the education-to-employment transition. The sector's ability to retrain workers and move them into higher-value functions will be central to how disruptive this transition becomes.
Skills Become Critical
Tyagarajan emphasised that a workforce with higher skill sets is now required for the IT industry. That reflects a wider industry consensus that AI will not eliminate technology jobs wholesale, but will change the skills premium. Workers who can design, deploy and supervise AI systems, manage complex client transformations, and combine technical knowledge with business understanding are likely to be in greater demand than those focused on repetitive execution.
For companies, this means reskilling is no longer optional. Training programmes, internal mobility and partnerships with educational institutions will become more important as firms try to bridge the gap between legacy roles and emerging requirements. The transition may also widen the divide between firms that can adapt quickly and those that remain tied to older delivery structures.
Investors will be watching closely for how this shift affects hiring costs, utilisation rates and long-term growth assumptions. If AI allows firms to generate more output with fewer employees, the sector's traditional valuation metrics may need to be reassessed. At the same time, companies that successfully move up the value chain could protect profitability even as headcount growth slows.
For Genpact and the wider IT services industry, the message is clear: AI is not just a productivity tool, but a force that is changing the economics of work itself. The next phase of growth is likely to be defined less by the number of people hired and more by the quality of skills deployed.